Job
- Level
- Lead
- Job Field
- Application, Embedded
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Berlin, Schwalbach
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will lead the architecture and implementation of perception models for automotive hardware, working from cloud training to real-time deployment with memory and latency requirements.
Job Technologies
Your role in the team
- In this role, you'll lead the architecture and delivery of perception models that run from cloud training through to deployment on automotive-grade hardware.
- A key part of the challenge is 'design for deployment' from day one—building models that can meet strict latency and memory constraints on embedded/edge platforms, without compromising real-world performance.
- You will define the architecture, build a world-class team, and own the full journey from research through to deployment-ready models at scale.
- Own, define and lead the end-to-end perception architecture - from cloud training to deployment-ready model variants for automotive-grade SoCs (e.g., Qualcomm Snapdragon Ride, NVIDIA Orin, or similar).
- Führen Sie einen Deployment-First-Ansatz bei Architekturentscheidungen, einschließlich Quantisierung, Latenzanforderungen und Speicherbeschränkungen.
- Turn state-of-the-art perception research into reliable, scalable production pipelines (cloud + edge model variants).
- Guide BEV / multi-camera perception focused on road infrastructure (lanes, boundaries, signs, traffic lights, road surface attributes).
- Define evaluation and validation standards, including hardware-aware metrics (latency vs accuracy trade-offs, memory footprint, throughput on reference hardware).
- Partner closely with research, simulation, product, and customer/partner teams to ensure outputs are usable by downstream systems and meet real deployment needs.
- Remain deeply hands-on in architecture reviews, model design, technical investigations, debugging critical issues, and evaluation of new approaches.
- This role requires active technical contribution, not only leadership.
- Help build and scale a high-performing perception engineering team from the ground up, hiring key talent, developing technical leaders, and establishing engineering standards, development processes, and a strong culture of technical excellence.
- Partner closely with customers to understand real-world challenges and translate them into scalable solutions.
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Our expectations of you
Qualifications
- Strong understanding of perception systems and modern computer vision architectures, including object detection, segmentation, tracking, lane understanding, scene understanding, road infrastructure perception, and spatial AI concepts.
- Demonstrated ability to remain hands-on in architecture reviews, technical investigations, model development, and deployment decisions while leading a team.
- Strong communication skills, with the ability to explain technical trade-offs to both technical and non-technical stakeholders.
- Ability to work effectively across research, engineering, product, platform, and customer-facing teams.
Experience
- 10+ years of experience in ML, AI, computer vision, robotics, autonomous driving, spatial AI, or related fields including hands-on experience with computer vision, perception, or scene understanding systems.
- Proven experience taking ML or computer vision models from research or prototype stage into production systems.
- Experience with deep learning frameworks, preferably PyTorch.
- Experience deploying AI/perception systems on embedded, automotive, robotics, or other hardware-constrained platforms.
- Hands-on experience deploying and optimizing AI/perception models for production, including latency, memory, throughput, quantization, compression, and deployment workflows such as TensorRT and ONNX.
- Experience with automotive-grade SoCs such as NVIDIA Orin, Qualcomm Snapdragon Ride, TI TDA4, or similar platforms.
- Experience building and scaling high-performing engineering teams is an added advantage.
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What we offer
- This role can be based in Berlin, Frankfurt, Munich or Amsterdam.
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Benefits
Work-Life-Integration
Health, Fitness & Fun
Higher Take-Home Pay
Topics You Will Work On
Job Locations
About Your Employer
HERE Global B.V.
Here Technologies, which goes by the name Here, is a company that provides mapping and location data.
Description
- Language
- English
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Internet, IT, Telecommunication
Distinguished Engineer, Perception, Embedded AI & SoC
- Location
- Berlin, Schwalbach
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
- English Only
- English only required
